SOTAVerified

Image Enhancement

Image Enhancement is basically improving the interpretability or perception of information in images for human viewers and providing ‘better’ input for other automated image processing techniques. The principal objective of Image Enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer.

Source: A Comprehensive Review of Image Enhancement Techniques

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 983 papers

TitleStatusHype
Enhancing Low-Light Images Using Infrared-Encoded Images—0
Face Image Quality Enhancement Study for Face Recognition—0
Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios—0
UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement for Gastrointestinal Visual Question Answering—0
Learning to Augment: Hallucinating Data for Domain Generalized Segmentation—0
Low-Light Enhancement in the Frequency Domain—0
A ground-based dataset and a diffusion model for on-orbit low-light image enhancement—0
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI ReconstructionCode0
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation—0
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN with Dual-DiscriminatorsCode0
Personalized Image Enhancement Featuring Masked Style ModelingCode0
UIERL: Internal-External Representation Learning Network for Underwater Image EnhancementCode0
Investigation of the Challenges of Underwater-Visual-Monocular-SLAM—0
LUT-GCE: Lookup Table Global Curve Estimation for Fast Low-light Image Enhancement—0
RB-Dust -- A Reference-based Dataset for Vision-based Dust Removal—0
Unsupervised Low Light Image Enhancement Using SNR-Aware Swin Transformer—0
VEDA: Uneven light image enhancement via a vision-based exploratory data analysis modelCode0
Make Lossy Compression Meaningful for Low-Light ImagesCode0
Learning a Single Convolutional Layer Model for Low Light Image Enhancement—0
Bright Channel Prior Attention for Multispectral Pedestrian Detection—0
Advancing Unsupervised Low-light Image Enhancement: Noise Estimation, Illumination Interpolation, and Self-RegulationCode0
SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency—0
Pyramid Texture Filtering—0
Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution—0
Venn Diagram Multi-label Class Interpretation of Diabetic Foot Ulcer with Color and Sharpness Enhancement—0
ALL-E: Aesthetics-guided Low-light Image Enhancement—0
Complex Mixer for MedMNIST Classification Decathlon—0
Quantum Annealing for Single Image Super-Resolution—0
Identity Encoder for Personalized Diffusion—0
Deep Quantigraphic Image Enhancement via Comparametric EquationsCode0
A Practical Framework for Unsupervised Structure Preservation Medical Image EnhancementCode0
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement—0
Random Weights Networks Work as Loss Prior Constraint for Image Restoration—0
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration—0
Information-Theoretic GAN Compression with Variational Energy-based Model—0
Low-Light Image Enhancement by Learning Contrastive Representations in Spatial and Frequency Domains—0
Image Enhancement for Remote Photoplethysmography in a Low-Light EnvironmentCode0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
MetaUE: Model-based Meta-learning for Underwater Image EnhancementCode0
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image DenoisingCode0
Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement—0
RSFDM-Net: Real-time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement—0
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework—0
A Correction-Based Dynamic Enhancement Framework towards Underwater Detection—0
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization—0
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
Soft Thresholding for Visual Image Enhancement—0
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement—0
DarkVision: A Benchmark for Low-light Image/Video Perception—0
You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement—0
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All datasetsMIT-Adobe 5kTIP 2018Exposure-ErrorsMIT-Adobe FiveKSICE-GradSICE-Mix

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HG-MTFEPSNR on proRGB25.69—Unverified
2PQDynamicISPPSNR on proRGB25.53—Unverified
3RSFNet-mapPSNR on proRGB25.49—Unverified
4AdaIntPSNR on proRGB25.49—Unverified
5SepLUTPSNR on proRGB25.47—Unverified
6MTFEPSNR on proRGB25.46—Unverified
73D LUTPSNR on proRGB25.21—Unverified
8RetinexformerPSNR on sRGB24.94—Unverified
94D LUTPSNR on proRGB24.61—Unverified
10DIFAR (MSCA, level 1)PSNR on proRGB24.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR30.11—Unverified
2MBCNNPSNR30.03—Unverified
3ESDNetPSNR29.81—Unverified
4Uformer-BPSNR29.28—Unverified
5MopNetPSNR27.75—Unverified
6DMCNNPSNR26.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Exposure-slotPSNR23.18—Unverified
2CSECPSNR22.73—Unverified
3LCDPNetPSNR22.17—Unverified
4IATPSNR20.34—Unverified
5MSECPSNR20.21—Unverified
#ModelMetricClaimedVerifiedStatus
1TreEnhanceDeltaE11.25—Unverified
#ModelMetricClaimedVerifiedStatus
1CIDNetAverage PSNR13.45—Unverified
#ModelMetricClaimedVerifiedStatus
1CIDNetAverage PSNR13.43—Unverified